21 datasets found
  1. Gun violence rate U.S. 2025, by state

    • statista.com
    Updated Jan 17, 2025
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    Statista (2025). Gun violence rate U.S. 2025, by state [Dataset]. https://www.statista.com/statistics/1380025/us-gun-violence-rate-by-state/
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    Dataset updated
    Jan 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    United States
    Description

    In recent years, gun violence in the United States has become an alarmingly common occurrence. From 2016, there has been over 10,000 homicides by firearm in the U.S. each year and firearms have been found to make up the majority of murder weapons in the country by far, demonstrating increasing rates of gun violence occurring throughout the nation. As of 2025, Mississippi was the state with the highest gun violence rate per 100,000 residents in the United States, at 29.4 percent, followed by Louisiana, at 28.1 percent. In comparison, Massachusetts had a gun violence rate of 3.7 percent, the lowest out of all the states. The importance of gun laws Gun laws in the United States vary from state to state, which has been found to affect the differing rates of gun violence throughout the country. Fewer people die by gun violence in states where gun safety laws have been passed, while gun violence rates remain high in states where gun usage is easily permitted and even encouraged. In addition, some states suffer from high rates of gun violence despite having strong gun safety laws due to gun trafficking, as traffickers can distribute firearms illegally past state lines. The right to bear arms Despite evidence from other countries demonstrating that strict gun control measures reduce rates of gun violence, the United States has remained reluctant to enact gun control laws. This can largely be attributed to the Second Amendment of the Constitution, which states that citizens have the right to bear arms. Consequently, gun control has become a highly partisan issue in the U.S., with 80 percent of Democrats believing that it was more important to limit gun ownership while 74 percent of Republicans felt that it was more important to protect the right of Americans to own guns.

  2. G

    Number of homicide victims, by method used to commit the homicide

    • ouvert.canada.ca
    • data.urbandatacentre.ca
    • +2more
    csv, html, xml
    Updated Jul 25, 2024
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    Statistics Canada (2024). Number of homicide victims, by method used to commit the homicide [Dataset]. https://ouvert.canada.ca/data/dataset/a8209aa6-9b59-4a90-a8aa-b058d9059b38
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    html, csv, xmlAvailable download formats
    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Number of homicide victims, by method used to commit the homicide (total methods used; shooting; stabbing; beating; strangulation; fire (burns or suffocation); other methods used; methods used unknown), Canada, 1974 to 2023.

  3. District Gun Violence Dashboards

    • catalog.data.gov
    • opendata.dc.gov
    • +1more
    Updated Mar 18, 2025
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    Office of Gun Violence Prevention (2025). District Gun Violence Dashboards [Dataset]. https://catalog.data.gov/dataset/district-gun-violence-dashboards
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    Dataset updated
    Mar 18, 2025
    Dataset provided by
    White House Office of Gun Violence Prevention
    Description

    The Office of Gun Violence Prevention (OGVP) shares real-time gun violence data to increase government transparency, improve the public's awareness, and support community-based gun violence prevention and reduction partners. All District crime data is available through Crime Cards. The dashboards below focus on gun violence only. The data in these dashboards is updated daily at 7:40AM with the incidents from the day before. View data covering 7-Day Look-back of Gun Violence and Year-to-date Gun Violence.All statistics presented here are based on preliminary DC criminal code offense definitions. The data do not represent official statistics submitted to the FBI under the Uniform Crime Reporting program (UCR) or National Incident Based Reporting System (NIBRS). All preliminary offenses are coded based on DC criminal code and not the FBI offense classifications. Please understand that any comparisons between MPD preliminary data as published on this website and the official crime statistics published by the FBI under the Uniform Crime Reporting Program (UCR) are inaccurate and misleading. The MPD does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information. The MPD will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. Read complete data notes at buildingblocks.dc.gov/data.

  4. G

    Number and percentage of homicide victims, by type of firearm used to commit...

    • ouvert.canada.ca
    • datasets.ai
    • +3more
    csv, html, xml
    Updated Jan 17, 2023
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    Statistics Canada (2023). Number and percentage of homicide victims, by type of firearm used to commit the homicide, inactive [Dataset]. https://ouvert.canada.ca/data/dataset/be073ee2-a302-4d32-af20-a48f5fbe2e63
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Number and percentage of homicide victims, by type of firearm used to commit the homicide (total firearms; handgun; rifle or shotgun; fully automatic firearm; sawed-off rifle or shotgun; firearm-like weapons; other firearms, type unknown), Canada, 1974 to 2018.

  5. a

    Louisville Metro KY - Gun Violence Data

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.lojic.org
    • +2more
    Updated Feb 2, 2024
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    Louisville/Jefferson County Information Consortium (2024). Louisville Metro KY - Gun Violence Data [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/datasets/44b6c06b060147448046f956a311da69
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    Dataset updated
    Feb 2, 2024
    Dataset authored and provided by
    Louisville/Jefferson County Information Consortium
    License

    https://louisville-metro-opendata-lojic.hub.arcgis.com/pages/terms-of-use-and-licensehttps://louisville-metro-opendata-lojic.hub.arcgis.com/pages/terms-of-use-and-license

    Area covered
    Description

    This dataset consists of gun violence within Jefferson county that may fall within LMPDs radar, including non-fatal shootings, homicides, as well as shot-spotter data. The mapping data points where there are victims have been obfuscated to maintain privacy, while still being accurate enough to be placed in its correct boundaries, particularly around, neighborhoods, ZIP Codes, Council districts, and police divisions. The data also excludes any victim information that could be used to identify any individual. this data is used to make the public aware of what is going on in their communities. The data consists of only criminal incidents, excluding any cases that are deemed non-criminal.Field NameField DescriptionCase numberPolice report number. For ShotSpotter detections, it is the ShotSpotter ID.DateTimeDate and time in which the original incident occurred. Time is rounded down.AddressAddress rounded down to the one hundred block of where the initial incident occured. Unless it is an intersection.NeighborhoodNeighborhood in which the original incident occurred.Council DistrictCouncil district in which the original incident occurred.LatitudeLatitude coordinate used to map the incidentLongitudeLongitude coordinate used to map the incidentZIP CodeZIP Code in which the original incident occurred.Crime Typea distinction between incidents, whether it is a non-fatal shooting, homicide, or a ShotSpotter detection.CauseUsed to differentiate on the cause of death for homicide victims.SexGender of the victim of the initial incident.RaceRace/Ethnicity of the victim in a given incident.Age GroupCategorized age groups used to anonymize victim information.Division NamePolice division or department where the initial incident occurred.Crime report data is provided for Louisville Metro Police Divisions only; crime data does not include smaller class cities, unless LMPD becomes involved in smaller agency incident.The data provided in this dataset is preliminary in nature and may have not been investigated by a detective at the time of download. The data is therefore subject to change after a complete investigation. This data represents only calls for police service where a police incident report was taken. Due to the variations in local laws and ordinances involving crimes across the nation, whether another agency utilizes Uniform Crime Report (UCR) or National Incident Based Reporting System (NIBRS) guidelines, and the results learned after an official investigation, comparisons should not be made between the statistics generated with this dataset to any other official police reports. Totals in the database may vary considerably from official totals following the investigation and final categorization of a crime. Therefore, the data should not be used for comparisons with Uniform Crime Report or other summary statistics.Contact:Ivan Benitez, Ph.D.Gun Violence Data FellowOffice for Safe and Healthy Neighborhoodsivan.benitez@louisvilleky.gov

  6. H

    Extracted Data From: Firearm Mortality by State

    • dataverse.harvard.edu
    Updated Mar 31, 2025
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    National Center for Health Statistics (2025). Extracted Data From: Firearm Mortality by State [Dataset]. http://doi.org/10.7910/DVN/T7B1DG
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 31, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    National Center for Health Statistics
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2005 - Dec 31, 2022
    Area covered
    United States
    Description

    This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information: Centers for Disease Control and Prevention, National Center for Health Statistics. National Vital Statistics System, Mortality 2018-2023 on CDC WONDER Online Database, released in 2024. If you have questions about the underlying data stored here, please call 301-458-4800 or e-mail at paoquery@cdc.gov. If you have questions or recommendations related to this metadata entry and extracted data, please contact the CAFE Data Management team at: climatecafe@bu.edu. "Number of deaths and age-adjusted death rates from firearm-related fatalities. States are categorized from highest rate to lowest rate. Although adjusted for differences in age-distribution and population size, rankings by state do not take into account other state specific population characteristics that may affect the level of mortality. When the number of deaths is small, rankings by state may be unreliable due to instability in death rates." This dataset includes firearms mortality by state and year from 2005 to 2022. Taken from "Stats of the States", NCHS. [Quote from: https://www.cdc.gov/nchs/pressroom/stats_of_the_states.htm]

  7. People shot to death by U.S. police 2017-2024, by race

    • statista.com
    Updated May 27, 2025
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    Statista (2025). People shot to death by U.S. police 2017-2024, by race [Dataset]. https://www.statista.com/statistics/585152/people-shot-to-death-by-us-police-by-race/
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    Dataset updated
    May 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Sadly, the trend of fatal police shootings in the United States seems to only be increasing, with a total 1,173 civilians having been shot, 248 of whom were Black, as of December 2024. In 2023, there were 1,164 fatal police shootings. Additionally, the rate of fatal police shootings among Black Americans was much higher than that for any other ethnicity, standing at 6.1 fatal shootings per million of the population per year between 2015 and 2024. Police brutality in the U.S. In recent years, particularly since the fatal shooting of Michael Brown in Ferguson, Missouri in 2014, police brutality has become a hot button issue in the United States. The number of homicides committed by police in the United States is often compared to those in countries such as England, where the number is significantly lower. Black Lives Matter The Black Lives Matter Movement, formed in 2013, has been a vocal part of the movement against police brutality in the U.S. by organizing “die-ins”, marches, and demonstrations in response to the killings of black men and women by police. While Black Lives Matter has become a controversial movement within the U.S., it has brought more attention to the number and frequency of police shootings of civilians.

  8. Number, rate and percentage changes in rates of homicide victims

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Jul 25, 2024
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    Government of Canada, Statistics Canada (2024). Number, rate and percentage changes in rates of homicide victims [Dataset]. http://doi.org/10.25318/3510006801-eng
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number, rate and percentage changes in rates of homicide victims, Canada, provinces and territories, 1961 to 2023.

  9. Number and rate of homicide victims, by Census Metropolitan Areas

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Jul 25, 2024
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    Government of Canada, Statistics Canada (2024). Number and rate of homicide victims, by Census Metropolitan Areas [Dataset]. http://doi.org/10.25318/3510007101-eng
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number and rate (per 100,000 population) of homicide victims, Canada and Census Metropolitan Areas, 1981 to 2023.

  10. Data from: National Violent Death Reporting System (NVDRS)

    • catalog.data.gov
    • data.virginia.gov
    • +5more
    Updated Jul 26, 2023
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    Centers for Disease Control and Prevention, Department of Health & Human Services (2023). National Violent Death Reporting System (NVDRS) [Dataset]. https://catalog.data.gov/dataset/national-violent-death-reporting-system-nvdrs
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    Dataset updated
    Jul 26, 2023
    Description

    The National Violent Death Reporting System (NVDRS) provides states and communities with a clearer understanding of violent deaths to guide local decisions about efforts to prevent violence and helps them track progress over time. To stop violent deaths, we must first understand all the facts. Created in 2002, the NVDRS is a surveillance system that pulls together data on violent deaths in 18 states (see map below), including information about homicides, such as homicides perpetrated by a intimate partner (e.g., boyfriend, girlfriend, wife, husband), child maltreatment (or child abuse) fatalities, suicides, deaths where individuals are killed by law enforcement in the line of duty, unintentional firearm injury deaths, and deaths of undetermined intent. These data are supported by WISQARS, an interactive query system that provides data on injury deaths, violent deaths, and nonfatal injuries.

  11. d

    Index, Violent, Property, and Firearm Rates By County: Beginning 1990

    • catalog.data.gov
    • datadiscoverystudio.org
    • +3more
    Updated Feb 7, 2025
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    State of New York (2025). Index, Violent, Property, and Firearm Rates By County: Beginning 1990 [Dataset]. https://catalog.data.gov/dataset/index-violent-property-and-firearm-rates-by-county-beginning-1990
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    Dataset updated
    Feb 7, 2025
    Dataset provided by
    State of New York
    Description

    The Division of Criminal Justice Services (DCJS) collects crime reports from more than 500 New York State police and sheriffs’ departments. DCJS compiles these reports as New York’s official crime statistics and submits them to the FBI under the National Uniform Crime Reporting (UCR) Program. UCR uses standard offense definitions to count crime in localities across America regardless of variations in crime laws from state to state. In New York State, law enforcement agencies use the UCR system to report their monthly crime totals to DCJS. The UCR reporting system collects information on seven crimes classified as Index offenses which are most commonly used to gauge overall crime volume. These include the violent crimes of murder/non-negligent manslaughter, forcible rape, robbery, and aggravated assault; and the property crimes of burglary, larceny, and motor vehicle theft. Firearm counts are derived from taking the number of violent crimes which involve a firearm. Population data are provided every year by the FBI, based on US Census information. Police agencies may experience reporting problems that preclude accurate or complete reporting. The counts represent only crimes reported to the police but not total crimes that occurred. DCJS posts preliminary data in the spring and final data in the fall.

  12. C

    2012 Chicago Murder Statistics

    • data.cityofchicago.org
    Updated Jun 8, 2025
    + more versions
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    Chicago Police Department (2025). 2012 Chicago Murder Statistics [Dataset]. https://data.cityofchicago.org/Public-Safety/2012-Chicago-Murder-Statistics/ws3w-ba2s
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    xml, application/rssxml, csv, application/rdfxml, tsv, application/geo+json, kml, kmzAvailable download formats
    Dataset updated
    Jun 8, 2025
    Authors
    Chicago Police Department
    Area covered
    Chicago
    Description

    This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited. The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily Tuesday through Sunday. The dataset contains more than 65,000 records/rows of data and cannot be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Wordpad, to view and search. To access a list of Chicago Police Department - Illinois Uniform Crime Reporting (IUCR) codes, go to http://data.cityofchicago.org/Public-Safety/Chicago-Police-Department-Illinois-Uniform-Crime-R/c7ck-438e

  13. Crimes - Map

    • getsafeandsound.com
    • enigmaforensics.com
    • +3more
    application/rdfxml +5
    Updated Jun 9, 2025
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    Chicago Police Department (2025). Crimes - Map [Dataset]. https://getsafeandsound.com/blog/illinois-crime-statistics/
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    application/rssxml, json, csv, xml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    Chicago Police Departmenthttp://www.chicagopolice.org/
    Description

    This dataset reflects reported incidents of crime that have occurred in the City of Chicago over the past year, minus the most recent seven days of data. Data is extracted from the Chicago Police Department's CLEAR (Citizen Law Enforcement Analysis and Reporting) system. In order to protect the privacy of crime victims, addresses are shown at the block level only and specific locations are not identified. Should you have questions about this dataset, you may contact the Research & Development Division of the Chicago Police Department at 312.745.6071 or RandD@chicagopolice.org. Disclaimer: These crimes may be based upon preliminary information supplied to the Police Department by the reporting parties that have not been verified. The preliminary crime classifications may be changed at a later date based upon additional investigation and there is always the possibility of mechanical or human error. Therefore, the Chicago Police Department does not guarantee (either expressed or implied) the accuracy, completeness, timeliness, or correct sequencing of the information and the information should not be used for comparison purposes over time. The Chicago Police Department will not be responsible for any error or omission, or for the use of, or the results obtained from the use of this information. All data visualizations on maps should be considered approximate and attempts to derive specific addresses are strictly prohibited.

    The Chicago Police Department is not responsible for the content of any off-site pages that are referenced by or that reference this web page other than an official City of Chicago or Chicago Police Department web page. The user specifically acknowledges that the Chicago Police Department is not responsible for any defamatory, offensive, misleading, or illegal conduct of other users, links, or third parties and that the risk of injury from the foregoing rests entirely with the user. Any use of the information for commercial purposes is strictly prohibited. The unauthorized use of the words "Chicago Police Department," "Chicago Police," or any colorable imitation of these words or the unauthorized use of the Chicago Police Department logo is unlawful. This web page does not, in any way, authorize such use. Data is updated daily.

  14. S

    Deaths due to Firearm-related injury (age adjusted) per 100,000 persons, New...

    • healthdata.nj.gov
    • data.wu.ac.at
    application/rdfxml +5
    Updated Sep 10, 2020
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    New Jersey Department of Health (2020). Deaths due to Firearm-related injury (age adjusted) per 100,000 persons, New Jersey, by year: Beginning 2010 [Dataset]. https://healthdata.nj.gov/w/kb9q-u2up/default?cur=TpuD-a8j4My&from=CkVVfLaUtMX
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    tsv, json, csv, application/rdfxml, application/rssxml, xmlAvailable download formats
    Dataset updated
    Sep 10, 2020
    Dataset authored and provided by
    New Jersey Department of Health
    Area covered
    New Jersey
    Description

    Rate: Firearm-related Deaths per 100,000 Persons (age adjusted)

    Definition: Deaths with a firearm-related injury as the underlying cause of death. ICD-10 codes: W32-W34 (unintentional), X72-X74 (suicide), X93-X95 (homicide), Y22-Y24 (undetermined intent), Y35.0 (legal intervention)

    Data Sources:

    1) Centers for Disease Control and Prevention, National Center for Health Statistics. Compressed Mortality File. CDC WONDER On-line Database accessed at http://wonder.cdc.gov/cmf-icd10.html

    2) Death Certificate Database, Office of Vital Statistics and Registry, New Jersey Department of Health

    2) Population Estimates, State Data Center, New Jersey Department of Labor and Workforce Development

  15. H

    Replication Data for: Navigating Potential Pitfalls in...

    • dataverse.harvard.edu
    Updated Apr 12, 2024
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    Hans J. G. Hassell; John B. Holbein (2024). Replication Data for: Navigating Potential Pitfalls in Difference-in-Differences Designs: Reconciling Conflicting Findings on Mass Shootings' Effect on Electoral Outcomes [Dataset]. http://doi.org/10.7910/DVN/GH69TI
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 12, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Hans J. G. Hassell; John B. Holbein
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/GH69TIhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/GH69TI

    Description

    Recent work on the electoral effects of gun violence in the United States relying on the difference-in-differences design has produced conflicting findings that range from null effects to substantively large effects. At the same time, as the difference-in-difference design on which this research has relied has exploded in popularity, scholars have documented several methodological issues this design faces---including potential violations of parallel-trends and unaccounted for treatment effect heterogeneity. Sadly, these pitfalls (and their solutions) have not been fully explored in political science. In this paper, we apply these advancements to the unresolved debate on the effects of gun violence on electoral outcomes in the United States. We show that studies that find a large positive effect of gun violence on Democratic vote share are a product of a failure to properly specify difference-in-differences models when underlying assumptions are unlikely to hold. Once these biases are corrected, shootings show little evidence of sparking large electoral change. Our work clarifies an important unresolved debate and provides a cautionary guide for the many scholars currently employing difference-in-differences designs.

  16. Firearms Provisions in US States

    • kaggle.com
    Updated Aug 30, 2017
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    Jacob Boysen (2017). Firearms Provisions in US States [Dataset]. https://www.kaggle.com/datasets/jboysen/state-firearms/versions/1
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 30, 2017
    Dataset provided by
    Kaggle
    Authors
    Jacob Boysen
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    Context:

    The State Firearm Laws project aims to provide researchers with the data necessary to evaluate the effectiveness of various firearm laws. By carefully monitoring how gun legislation impacts firearm-related violence, we can provide policymakers with the evidence they need to make gun ownership safer for everyone.

    Ammunition regulations establish rules for anyone in the business of buying or selling firearm ammunition. Federal regulation of firearm ammunition usually accompanies the regulation of firearms, rather than existing independently. For example, the federal age requirements for ammunition purchase, by type of firearm and type of dealer, are the same as those for the purchase of firearms, and the populations that are prohibited from possessing firearms are also prohibited from possessing firearm ammunition.

    Content:

    Data covers all 50 US States, 1991-2017 and includes:

    • Vendor license required to sell ammunition.
    • Records of ammunition sales must be retained by the dealer.
    • Permit required to purchase ammunition.
    • Background checks required for ammunition purchases.
    • Sale of ammunition is restricted to the same categories of those who are legally allowed to purchase firearms.
    • Purchase of any type of ammunition restricted to those ages 18 and older.
    • Purchase of handgun ammunition restricted to those ages 21 and older.

    Acknowledgements:

    One-hundred of the 133 provisions were coded by Michael Siegel, MD, MPH, Boston University School of Public Health, with funding from the Robert Wood Johnson Foundation, Evidence for Action: Investigator-Initiated Research to Build a Culture of Health program (grant #73337), using data derived from the Thomson Reuters Westlaw legislative database. The other 33 provisions were coded using a database created by Everytown for Gun Safety and Legal Science, LLC. Shared in accordance with the Creative Commons Attribution-4.0 International License, which is incorporated herein by this reference. No changes were made to the original coding, but the data were adapted for use in this database. See the codebook for a list of which provisions were coded by which source. Additional materials include an associated report and related publications.

    Inspiration:

    • Which states have seen the most increase in regulation? Any decrease?
    • Can you correlate gun laws and homicides from this dataset?
  17. d

    Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex,...

    • datamed.org
    • icpsr.umich.edu
    • +1more
    Updated Feb 26, 2009
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    United States Department of Justice. Federal Bureau of Investigation (2009). Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, 1982 [Dataset]. https://datamed.org/display-item.php?repository=0025&id=59d539945152c6518764a88a&query=essays
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    Dataset updated
    Feb 26, 2009
    Authors
    United States Department of Justice. Federal Bureau of Investigation
    Area covered
    United States
    Description

    These data provide information on the number of arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program each year by police agencies in the United States. These arrest reports provide data on 43 offenses including violent crime, drug use, gambling, and larceny. The data received by ICPSR were structured as a hierarchical file containing (per reporting police agency) an agency header record, 1 to 12 monthly header records, and 1 to 43 detail offense records containing the counts of arrests by age, sex, and race for a particular offense. ICPSR restructured the original data to a rectangular format.

  18. Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex,...

    • icpsr.umich.edu
    • catalog.data.gov
    ascii, delimited, sas +2
    Updated Nov 11, 2008
    + more versions
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    United States Department of Justice. Federal Bureau of Investigation (2008). Uniform Crime Reporting Program Data [United States]: Arrests by Age, Sex, and Race, 2006 [Dataset]. http://doi.org/10.3886/ICPSR22404.v1
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    sas, stata, ascii, spss, delimitedAvailable download formats
    Dataset updated
    Nov 11, 2008
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States Department of Justice. Federal Bureau of Investigation
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/22404/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/22404/terms

    Time period covered
    2006
    Area covered
    United States
    Description

    These data provide information on the number of arrests reported to the Federal Bureau of Investigation's Uniform Crime Reporting (UCR) Program each year by police agencies in the United States. These arrest reports provide data on 43 offenses including violent crime, drug use, gambling, and larceny. The data received by ICPSR were structured as a hierarchical file containing (per reporting police agency) an agency header record, 1 to 12 monthly header records, and 1 to 43 detail offense records containing the counts of arrests by age, sex, and race for a particular offense. ICPSR restructured the original data to a rectangular format.

  19. Police-reported organized crime, by most serious violation, Canada (selected...

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Jul 25, 2024
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    Government of Canada, Statistics Canada (2024). Police-reported organized crime, by most serious violation, Canada (selected police services) [Dataset]. http://doi.org/10.25318/3510006201-eng
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    Dataset updated
    Jul 25, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    Police-reported organized crime, by most serious violation (homicide and attempted murder, assault, sexual violations, kidnapping and hostage taking, human trafficking, robbery and theft, firearm and weapons violations, extortion and criminal harassment, arson, forgery and fraud, child pornography, criminal organization involvement, probation and court violations, drug possession and trafficking, and other violations), Canada (selected police services), 2016 to 2023.

  20. U.S. gun laws 2024, by state

    • statista.com
    • ai-chatbox.pro
    Updated Jan 10, 2025
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    Statista (2025). U.S. gun laws 2024, by state [Dataset]. https://www.statista.com/statistics/1381099/us-gun-laws-by-state/
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    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In the United States, gun laws vary from one state to the next; whether residents need a permit or a background check to purchase a firearm, whether residents must undergo firearm training before making this purchase, and whether residents can openly carry their guns in public is dependent upon state legislation. As of 2024, 22 U.S. states required background checks and/or permits for the purchase of a handgun. A further 13 states had regulations on openly carrying firearms in public, however, only California, Connecticut, Florida, and Illinois had completely prohibited open carry for all firearms. In comparison, Maryland, New Jersey, and New York prohibited open carry for handguns but either did not have regulations in place or required a permit for other types of guns. A constitutional right The Second Amendment of the Constitution, which states that citizens have the right to bear arms, has made it difficult for any gun control legislation to be passed on a national level in the United States. As a result, gun control laws in the U.S. are state-based, and often differ based on political perspectives. States with strong gun laws in place, such as Massachusetts, generally experience less gun violence, however, some states with strong gun laws, such as Maryland, continue to face high rates of gun violence, which has largely been attributed to gun trafficking activity found throughout the nation. A culture of gun owners In comparison to other high-income countries with stricter gun control laws, the United States has the highest gun homicide rate at 4.38 gun homicides per 100,000 residents. However, despite increasing evidence that easy access to firearms, whether legal or illegal, encourages higher rates of gun violence, the United States continues to foster an environment in which owning a firearm is seen as a personal freedom. Almost half of U.S. households have reported owning at least one firearm and 43 percent of registered voters in the U.S. were found to believe that it was more important to protect the right of Americans to own guns, compared to 23 percent who said it was more important to limit gun ownership.

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Statista (2025). Gun violence rate U.S. 2025, by state [Dataset]. https://www.statista.com/statistics/1380025/us-gun-violence-rate-by-state/
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Gun violence rate U.S. 2025, by state

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Dataset updated
Jan 17, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2025
Area covered
United States
Description

In recent years, gun violence in the United States has become an alarmingly common occurrence. From 2016, there has been over 10,000 homicides by firearm in the U.S. each year and firearms have been found to make up the majority of murder weapons in the country by far, demonstrating increasing rates of gun violence occurring throughout the nation. As of 2025, Mississippi was the state with the highest gun violence rate per 100,000 residents in the United States, at 29.4 percent, followed by Louisiana, at 28.1 percent. In comparison, Massachusetts had a gun violence rate of 3.7 percent, the lowest out of all the states. The importance of gun laws Gun laws in the United States vary from state to state, which has been found to affect the differing rates of gun violence throughout the country. Fewer people die by gun violence in states where gun safety laws have been passed, while gun violence rates remain high in states where gun usage is easily permitted and even encouraged. In addition, some states suffer from high rates of gun violence despite having strong gun safety laws due to gun trafficking, as traffickers can distribute firearms illegally past state lines. The right to bear arms Despite evidence from other countries demonstrating that strict gun control measures reduce rates of gun violence, the United States has remained reluctant to enact gun control laws. This can largely be attributed to the Second Amendment of the Constitution, which states that citizens have the right to bear arms. Consequently, gun control has become a highly partisan issue in the U.S., with 80 percent of Democrats believing that it was more important to limit gun ownership while 74 percent of Republicans felt that it was more important to protect the right of Americans to own guns.

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